Andrew Srisuwananukorn

According to our database, Andrew Srisuwananukorn authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

When Cases Get Rare: A Retrieval Benchmark for Off-Guideline Clinical Question Answering.

Doeun Lee, Muge Zhang, Yi Yu, Ashish Manne, Stephen Koesters, Frank Wen, Brady Buchanan, Lynda Villagomez, Oluwatoba Moninuola, James Lim, Kathryn Tobin, Andrew Srisuwananukorn, Ping Zhang, Sachin Kumar

CoRR, May, 2026

PBSBench: A Multi-Level Vision-Language Framework and Benchmark for Hematopathology Whole Slide Image Interpretation.

Yuanlong Wang, Weichi Chen, Adrian Rajab, Wenfang Liu, Yulan Jin, Andrew Srisuwananukorn, Ping Zhang

CoRR, April, 2026

ClinicalTrialsHub: Bridging Registries and Literature for Comprehensive Clinical Trial Access.

Jiwoo Park, Ruoqi Liu, Avani Jagdale, Andrew Srisuwananukorn, Jing Zhao, Ping Zhang, Sachin Kumar

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

ClinicalTrialsHub: Bridging Registries and Literature for Comprehensive Clinical Trial Access.

Jiwoo Park, Ruoqi Liu, Avani Jagdale, Andrew Srisuwananukorn, Jing Zhao, Lang Li, Ping Zhang, Sachin Kumar

CoRR, December, 2025

2024

Slideflow: deep learning for digital histopathology with real-time whole-slide visualization.

James M. Dolezal, Sara Kochanny, Emma C. Dyer, Siddhi Ramesh, Andrew Srisuwananukorn, Matteo Sacco, Frederick M. Howard, Anran Li, Prajval Mohan, Alexander T. Pearson

BMC Bioinform., December, 2024

2023

Slideflow: Deep Learning for Digital Histopathology with Real-Time Whole-Slide Visualization.

James M. Dolezal, Sara Kochanny, Emma C. Dyer, Andrew Srisuwananukorn, Matteo Sacco, Frederick M. Howard, Anran Li, Prajval Mohan, Alexander T. Pearson

CoRR, 2023

2022

Deep Learning Generates Synthetic Cancer Histology for Explainability and Education.

James M. Dolezal, Rachelle Wolk, Hanna M. Hieromnimon, Frederick M. Howard, Andrew Srisuwananukorn, Dmitry Karpeyev, Siddhi Ramesh, Sara Kochanny, Jung Woo Kwon, Meghana Agni, Richard C. Simon, Chandni Desai, Raghad Kherallah, Tung D. Nguyen, Jefree J. Schulte, Kimberly Cole, Galina Khramtsova, Marina Chiara Garassino, Aliya N. Husain, Huihua Li, Robert Grossman, Nicole A. Cipriani, Alexander T. Pearson

CoRR, 2022

Uncertainty-Informed Deep Learning Models Enable High-Confidence Predictions for Digital Histopathology.

James M. Dolezal, Andrew Srisuwananukorn, Dmitry Karpeyev, Siddhi Ramesh, Sara Kochanny, Brittany Cody, Aaron Mansfield, Sagar Rakshit, Radhika Bansa, Melanie Bois, Aaron O. Bungum, Jefree J. Schulte, Everett E. Vokes, Marina Chiara Garassino, Aliya N. Husain, Alexander T. Pearson

CoRR, 2022